Antimicrobial Resistance in Aquaculture Environments: Unravelling the Complexity and Connectivity of the Underlying Societal Drivers

This is the final version. Available on open access from the American Chemical Society via the DOI in this recordFood production environments in low- and middle-income countries (LMICs) are recognized as posing significant and increasing risks to antimicrobial resistance (AMR), one of the greatest threats to global public health and food security systems. In order to maximize and expedite action in mitigating AMR, the World Bank and AMR Global Leaders Group have recommended that AMR is integrated into wider sustainable development strategies. Thus, there is an urgent need for tools to support decision makers in unravelling the complex social and environmental factors driving AMR in LMIC food-producing environments and in demonstrating meaningful connectivity with other sustainable development issues. Here, we applied the Driver-Pressure-State-Impact-Response (DPSIR) conceptual framework to an aquaculture case study site in rural Bangladesh, through the analysis of distinct social, microbiological, and metagenomic data sets. We show how the DPSIR framework supports the integration of these diverse data sets, first to systematically characterize the complex network of societal drivers of AMR in these environments and second to delineate the connectivity between AMR and wider sustainable development issues. Our study illustrates the complexity and challenges of addressing AMR in rural aquaculture environments and supports efforts to implement global policy aimed at mitigating AMR in aquaculture and other rural LMIC food-producing environments.UK Government ODA-funded projectEngineering and Physical Sciences Research Council (EPSRC)Biotechnology and Biological Sciences Research Council (BBSRC)Natural Environment Research Council (NERC)Global Challenges Research Fund (GCRF

Genetic divergence of jesso-balam rice (Oryza sativa L.) of Bangladesh

In total 27 genotypes of Jesso-Balam pure line rice germplasm were studied for fourteen morpho-physiological and four physico-chemical characters at Bangladesh Rice Research Institute, during T. Aman 2009 and T. Aman 2011 seasons. According to principal component scores, the two-dimensional scatter diagram (Z1-Z2) has apparently distributed the genotypes into seven clusters. According to Mahalanobis’ D2 statistic for the studied characters, the genotypes were clubbed into seven groups. The highest number of genotypes (6) were included in clusters I and III and the lowest two (2) in cluster V and VII. It was also revealed that no duplicate was existed among the genotypes. The intra-cluster distance was maximum (0.77) in cluster III and minimum (0.28) in cluster VII, while the maximum intercluster distance (28.37) was observed between the clusters III and IV and the minimum (2.49) between the clusters I and VII. The cluster V has produced the highest means for plant height (148.18 cm), straw yield per hill (39.97 g), panicle length (28.14 cm) and protein content (9.61%). But, the cluster IV has showed the highest means for seedling height (69.5 cm), flag and penultimate leaf area (1059.5 cm2), culm diameter (5.8 cm), filled grain number per panicle (3.64), grain length (8.63 mm) and 1000-grain weight (21.78 g), while the cluster VII had the highest means for grain yield per hill (31.27 g) and effective tiller number per hill (13.5) and the lowest mean for days to maturity (144). Therefore, the genotypes of cluster V need to be crossed with the genotypes of cluster IV or cluster VII, for developing new Balam rice with maximum other good characters. Finally, it could be concluded that the studied Jesso-Balam pure lines germplasm is a good source of valuable genes

Green synthesis and evaluation of silver nanoparticles as adjuvant in rabies veterinary vaccine

Vahid Asgary,1,2 Alireza Shoari,1 Fahimeh Baghbani-Arani,3 Seyed Ataollah Sadat Shandiz,4 Mohammad Sadeq Khosravy,5 Alireza Janani,1 Razieh Bigdeli,6 Rouzbeh Bashar,1 Reza Ahangari Cohan1,7 1Virology Research Group, Department of Rabies, Pasteur Institute of Iran, 2Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, 3Department of Genetics and Biotechnology, School of Biological Science, Varamin-Pishva Branch, Islamic Azad University, Varamin, 4Young Researchers and Elite Club, East Tehran Branch, Islamic Azad University, 5Department of Laboratory of Animal Sciences, Pasteur Institute of Iran, 6Department of Genetic, Science and Research Branch, Islamic Azad University, 7New Technologies Research Group, Department of Pilot Nanobiotechnology, Pasteur Institute of Iran, Tehran, Iran Background: Green synthesis of nanoparticles by plant extracts plays a significant role in different applications. Recently, several studies were conducted on the use of nanoparticles as adjuvant. The main aim of this study was to evaluate green synthesized silver nanoparticles (AgNPs) as adjuvant in rabies veterinary vaccine and compare the results with the existing commercially available alum adjuvant.Materials and methods: In the current study, AgNPs were prepared by the reduction of aqueous silver nitrate by leaf extract of Eucalyptus procera. The formation of AgNPs was confirmed by ultraviolet (UV)–visible spectrophotometer, scanning electron microscopy, dynamic light scattering, and X-ray diffraction analysis. Then, different amounts of AgNPs (200 µg, 400 µg, 600 µg, and 800 µg) were added to 1 mL of inactivated rabies virus. The loaded vaccines (0.5 mL) were injected intraperitoneally into six Naval Medical Research Institute mice in each group on days 1 and 7. On the 15th day, the mice were intracerebrally challenged with 0.03 mL of challenge rabies virus (challenge virus strain-11, 20 lethal dose [20 LD50]), and after the latency period of rabies disease in mice (5 days), the mice were monitored for 21 days. Neutralizing antibodies against rabies virus were also investigated using the rapid fluorescent focus inhibition test method. The National Institutes of Health test was performed to determine the potency of optimum concentration of AgNPs as adjuvant. In vitro toxicity of AgNPs was assessed in L929 cell line using MTT assay. In addition, in vivo toxicity of AgNPs and AgNPs-loaded vaccine was investigated according to the European Pharmacopeia 8.0.Results: AgNPs were successfully synthesized, and the identity was confirmed by UV–visible spectrophotometry and X-ray diffraction analysis. The prepared AgNPs were spherical in shape, with an average size of 60 nm and a negative zeta potential of -14 mV as determined by dynamic light scattering technique. The highest percentage of viability was observed at 15 mg/kg and 20 mg/kg of AgNPs-loaded vaccine concentrations after injecting into the mice. The calculated potencies for alum-containing vaccine and AgNPs-loaded vaccine (dose 15 mg/kg) were 1.897 and 1.303, respectively. MTT assay demonstrated that alum at the concentration of 10 mg/mL was toxic, but AgNPs were not toxic. The in vivo toxicity also elucidated the safety of AgNPs and AgNPs-loaded vaccine in mice and dogs, respectively.Conclusion: In the current study, for the first time, the adjuvanticity effect of green synthesized AgNPs on veterinary rabies vaccine potency with no in vivo toxicity was elucidated according to the European Pharmacopeia 8.0. Keywords: green synthesis, nanoparticles, rabies virus, adjuvan

Feasibility of atrial fibrillation detection from a novel wearable armband device

Background: Atrial fibrillation (AF) is the world’s most common heart rhythm disorder and even several minutes of AF episodes can contribute to risk for complications, including stroke. However, AF often goes undiagnosed owing to the fact that it can be paroxysmal, brief, and asymptomatic. Objective: To facilitate better AF monitoring, we studied the feasibility of AF detection using a continuous electrocardiogram (ECG) signal recorded from a novel wearable armband device. Methods: In our 2-step algorithm, we first calculate the R-R interval variability–based features to capture randomness that can indicate a segment of data possibly containing AF, and subsequently discriminate normal sinus rhythm from the possible AF episodes. Next, we use density Poincaré plot-derived image domain features along with a support vector machine to separate premature atrial/ventricular contraction episodes from any AF episodes. We trained and validated our model using the ECG data obtained from a subset of the MIMIC-III (Medical Information Mart for Intensive Care III) database containing 30 subjects. Results: When we tested our model using the novel wearable armband ECG dataset containing 12 subjects, the proposed method achieved sensitivity, specificity, accuracy, and F1 score of 99.89%, 99.99%, 99.98%, and 0.9989, respectively. Moreover, when compared with several existing methods with the armband data, our proposed method outperformed the others, which shows its efficacy. Conclusion: Our study suggests that the novel wearable armband device and our algorithm can be used as a potential tool for continuous AF monitoring with high accuracy

Predictors of Unplanned Reoperation after Gender-affirming Mastectomy: An Analysis of the NSQIP Database

Background:. Gender-affirming mastectomy (GAM) is a gender-affirmation surgery designed to remove or reduce breast tissue, with or without nipple reconstruction. GAM is the most commonly performed gender-affirmation surgery and risk factors associated with unplanned return to the operating room and reoperation continue to be investigated. This is the largest study of transgender and nonbinary patients undergoing GAM to determine predictors of unplanned reoperation. Methods:. The National Surgical Quality Improvement Program database was queried for patients undergoing GAM from 2012 to 2020. The primary outcome was the incidence of unplanned reoperation within 30 days postoperatively. The secondary outcome was the indication for unplanned reoperation within this period. Descriptive statistics were calculated. Bivariate analysis and multivariate logistic regression were performed to determine significant predictors of reoperation after GAM. Results:. A total of 2316 patients underwent GAM, of whom 2.2% (n = 51) underwent unplanned reoperation of the chest. The most common indication for unplanned reoperation was hematoma (n = 41, 71.9%) followed by abscess (n = 5, 8.8%). Significant predictors of reoperation were corticosteroid use [adjusted odds ratio (aOR) 95% confidence interval (CI) 5.07 (1.07–23.89)] and diabetes [aOR (CI) 10.98 (3.0–40.33)]. Hispanic/Latinx ethnicity [aOR (CI) 3.19 (1.22–8.33)] and corticosteroid use [aOR (CI) 6.81 (1.45–31.98)] were significant predictors of unplanned reoperation for hematoma evacuation after GAM. Conclusions:. Diabetes mellitus and corticosteroid use were associated with unplanned reoperation after GAM. Ethnic correlations remain to be better elucidated as well as the effect of intersectionality. These findings can be used to guide patient selection and surgical decision-making